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All Journal Jurnal Pendidikan Ekonomi (JUPE) Prosiding Seminar Nasional Official Statistics
Miko Oktavio Wijaya
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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ANALISIS DETERMINAN BALITA PENDEK DAN SANGAT PENDEK DI INDONESIA 2015-2018 DENGAN REGRESI DATA PANEL Astrid C. A. Pangaribuan; Kuncoro Dwi Dhanutama; Miko Oktavio Wijaya; Putri Tareka Navasha; Rani Nooraeni
Jurnal Pendidikan Ekonomi (JUPE) Vol 8 No 2 (2020)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jupe.v8n2.p56-61

Abstract

Balita pendek dan sangat pendek (kerdil) adalah kondisi dimana balita memiliki panjang atau tinggi badan yang kurang dibandingkan dengan umur. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi persentase balita kerdil di Indonesia pada tahun 2015–2018. Penelitian ini menggunakan data sekunder berupa data panel yang bersumber dari website Badan Pusat Statistik dan publikasi Kementerian Kesehatan Republik Indonesia. Variabel bebas dalam penelitian ini adalah angka partisipasi sekolah, rata-rata pengeluaran per kapita rumah tangga untuk makanan, tingkat pengangguran terbuka, dan persentase balita gizi buruk dan kurang.  Metode analisis yang digunakan adalah regresi data panel dengan Fixed Effect Model (FEM). Setelah dilakukan estimasi model terpilih, didapatkan hasil bahwa rata-rata pengeluaran per kapita rumah tangga untuk makanan dan persentase balita gizi buruk kurang berpengaruh signifikan. Sementara itu, berdasarkan hasil Individual Effect atau Cross-Section Fixed Effect, persentase balita kerdil tertinggi berada di Provinsi Sulawesi Barat sedangkan yang terendah berada di Provinsi Kepulauan Riau. Kata kunci: Pengeluaran perkapita, partisipasi sekolah, tingkat pengangguran terbuka, balita gizi buruk  Abstract Toddler short and very short (dwarf) is a condition where toddlers have a length or height less than age. This study aims to analyze the factors that influence the percentage of stunted toddlers in Indonesia in 2015-2018. This study uses secondary data in the form of panel data sourced from the website of the Central Statistics Agency and the publication of the Ministry of Health of the Republic of Indonesia. The independent variables in this study are school participation rates, the average per capita household expenditure for food, open unemployment rates, and the percentage of malnourished and under-aged children. The analytical method used is panel data regression with the Fixed Effect Model (FEM). After estimating the selected model, the results show that the average per capita expenditure of households for food and the percentage of malnourished children under five is not significantly influential. Meanwhile, based on the results of the Individual Effect or Cross-Section Fixed Effect, the highest percentage of dwarf children was in West Sulawesi Province while the lowest was in Riau Islands Province. Keywords: Per capita expenditure, school participation, open unemployment rate, malnutrition toddlers 
Determinan Pengangguran Lulusan SMK di Indonesia Tahun 2020 Miko Oktavio Wijaya; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.846 KB) | DOI: 10.34123/semnasoffstat.v2021i1.1048

Abstract

Indonesia is facing a demographic bonus phenomenon, but the Open Unemployment Rate (TPT) in Indonesia is still high. Vocational High School (SMK) graduates have become the biggest contributors to TPT in Indonesia in the last 5 years. This condition isn’t accordance with PP No. 17 of 2010 which states that vocational education aims to create graduates who are ready to work. This study aims to find the general description of unemployment for SMK graduates, identify the variables that cause SMK graduates become unemployment and determine the tendency of the variables used. The data used is Sakernas February 2020. The analytical method used consists of descriptive analysis and inferential analysis using binary logistic regression. The results showed that the variables of gender, disability disorder, field of expertise, year of graduation, and participation in training had a significant effect on the unemployed status of SMK graduates. The tendency for SMK graduates to experience unemployment is higher for male graduates, do not have disabilities, come from other fields of expertise, graduated within a year, and have never attended training.
Co-Authors Astrid C. A. Pangaribuan Efri Diah Utami Kuncoro Dwi Dhanutama Nooraeni, Rani Putri Tareka Navasha